Improved Speech Representations with Multi-Target Autoregressive Predictive Coding

ACL 2020 Yu-An ChungJames Glass

Training objectives based on predictive coding have recently been shown to be very effective at learning meaningful representations from unlabeled speech. One example is Autoregressive Predictive Coding (Chung et al., 2019), which trains an autoregressive RNN to generate an unseen future frame given a context such as recent past frames... (read more)

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